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From pixels to response maps: discriminative image filtering for face alignment in the wild (2014)
Journal Article
Asthana, A., Zafeiriou, S., Tzimiropoulos, G., Cheng, S., & Pantic, M. (2014). From pixels to response maps: discriminative image filtering for face alignment in the wild. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(6), https://doi.org/10.1109/TPAMI.2014.2362142

We propose a face alignment framework that relies on the texture model generated by the responses of discriminatively trained part-based filters. Unlike standard texture models built from pixel intensities or responses generated by generic filters (e... Read More about From pixels to response maps: discriminative image filtering for face alignment in the wild.

On minimizing coding operations in network coding based multicast: an evolutionary algorithm (2014)
Journal Article
Xing, H., Qu, R., Bai, L., & Ji, Y. (2014). On minimizing coding operations in network coding based multicast: an evolutionary algorithm. Applied Intelligence, 41(3), https://doi.org/10.1007/s10489-014-0559-4

In telecommunications networks, to enable a valid data transmission based on network coding, any intermediate node within a given network is allowed, if necessary, to perform coding operations. The more coding operations needed, the more coding resou... Read More about On minimizing coding operations in network coding based multicast: an evolutionary algorithm.

Automated recovery of 3D models of plant shoots from multiple colour images (2014)
Journal Article
Pound, M. P., French, A. P., Murchie, E. H., & Pridmore, T. P. (2014). Automated recovery of 3D models of plant shoots from multiple colour images. Plant Physiology, 166(4), https://doi.org/10.1104/pp.114.248971

Increased adoption of the systems approach to biological research has focussed attention on the use of quantitative models of biological objects. This includes a need for realistic 3D representations of plant shoots for quantification and modelling.... Read More about Automated recovery of 3D models of plant shoots from multiple colour images.

Implementation and experimental validation of Dynamic Movement Primitives for object handover (2014)
Journal Article
Prada, M., Koene, A., Remazeilles, A., & Endo, S. (2014). Implementation and experimental validation of Dynamic Movement Primitives for object handover. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems, https://doi.org/10.1109/iros.2014.6942851

This article presents the implementation and experimental validation of a control system dedicated to human robot physical interaction during object handovers. Our control law defines the trajectory of the robotic arm towards a previously unknown han... Read More about Implementation and experimental validation of Dynamic Movement Primitives for object handover.

Modified choice function heuristic selection for the Multidimensional Knapsack Problem (2014)
Conference Proceeding
Drake, J. H., Özcan, E., & Burke, E. K. (2014). Modified choice function heuristic selection for the Multidimensional Knapsack Problem. In Genetic and evolutionary computing (225–234). https://doi.org/10.1007/978-3-319-12286-1_23

Hyper-heuristics are a class of high-level search methods used to solve computationally difficult problems, which operate on a search space of low-level heuristics rather than solutions directly. Previous work has shown that selection hyper-heuristic... Read More about Modified choice function heuristic selection for the Multidimensional Knapsack Problem.

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (2014)
Conference Proceeding
Bayliss, C. D., de Maere, G., Atkin, J., & Paelinck, M. (2014). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Airlines operate in an uncertain environment for many reasons, for example due to the efects of weather, traffic or crew unavailability (due to delay or sickness). This work focuses on airline reserve crew scheduling under crew absence and journey ti... Read More about A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Energy advisors at work: charity work practices to support people in fuel poverty (2014)
Conference Proceeding
Fischer, J. E., Costanza, E., Ramchurn, S. D., Colley, J. A., & Rodden, T. (2014). Energy advisors at work: charity work practices to support people in fuel poverty.

We present an ethnographic study of energy advisors working for a charity that provides support, particularly to people in fuel poverty. Our fieldwork comprises detailed observations that reveal the collaborative, interactional work of energy advisor... Read More about Energy advisors at work: charity work practices to support people in fuel poverty.

Wearables or infrastructure: contrasting approaches to collecting behavioural data in the home (2014)
Conference Proceeding
Victoria, S., Tim, C., Sarah, M., Kher Hui, N., Elizabeth, E., Richard, M., & Stuart, R. (2014). Wearables or infrastructure: contrasting approaches to collecting behavioural data in the home. In UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (931-938). https://doi.org/10.1145/2638728

This paper examines and contrasts two approaches to collecting behavioural data within the home. The first of these involves filming from static video cameras combined with network logging to capture media consumption activities across multiple scree... Read More about Wearables or infrastructure: contrasting approaches to collecting behavioural data in the home.

Wearables or infrastructure: Contrasting approaches to collecting behavioural data in the home (2014)
Conference Proceeding
Shipp, V., Coughlan, T., Martindale, S., Ng, K. H., Evans, E., Mortier, R., & Reeves, S. (2014). Wearables or infrastructure: Contrasting approaches to collecting behavioural data in the home. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (931-938). https://doi.org/10.1145/2638728.2641558

This paper examines and contrasts two approaches to collecting behavioural data within the home. The first of these involves filming from static video cameras combined with network logging to capture media consumption activities across multiple scree... Read More about Wearables or infrastructure: Contrasting approaches to collecting behavioural data in the home.

Interval type-2 fuzzy sets in supplier selection (2014)
Conference Proceeding
Turk, S., John, R., & Özcan, E. (2014). Interval type-2 fuzzy sets in supplier selection. In 2014 14th UK Workshop on Computational Intelligence (UKCI). https://doi.org/10.1109/UKCI.2014.6930168

Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. This study introduces a model for solving the supplier selection problem using interval type-2 fuzzy sets. Moreover, the influence o... Read More about Interval type-2 fuzzy sets in supplier selection.

Fuzzy adaptive parameter control of a late acceptance hyper-heuristic (2014)
Conference Proceeding
Jackson, W. G., Özcan, E., & John, R. I. (2014). Fuzzy adaptive parameter control of a late acceptance hyper-heuristic. In 2014 14th UK Workshop on Computational Intelligence (UKCI)

A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies on two core components, a method for selecting a heuristic to apply at a given point, and a method to decide whether or not to accept the result of t... Read More about Fuzzy adaptive parameter control of a late acceptance hyper-heuristic.

A principled approach to the implementation of argumentation models (2014)
Journal Article
van Gijzel, B., & Nilsson, H. (2014). A principled approach to the implementation of argumentation models. Frontiers in Artificial Intelligence and Applications, 266,

Argumentation theory combines philosophical concepts and computational models to deliver a practical approach to reasoning that handles uncertain information and possibly conflicting viewpoints. This paper focuses on the structured approach to argume... Read More about A principled approach to the implementation of argumentation models.

Analysing fuzzy sets through combining measures of similarity and distance (2014)
Conference Proceeding
McCulloch, J., Wagner, C., & Aickelin, U. (2014). Analysing fuzzy sets through combining measures of similarity and distance.

Reasoning with fuzzy sets can be achieved through measures such as similarity and distance. However, these measures can often give misleading results when considered independently, for example giving the same value for two different pairs of fuzzy se... Read More about Analysing fuzzy sets through combining measures of similarity and distance.

Comparison of distance metrics for hierarchical data in medical databases (2014)
Conference Proceeding
Hassan, D., Aickelin, U., & Wagner, C. (2014). Comparison of distance metrics for hierarchical data in medical databases.

Distance metrics are broadly used in different research areas and applications, such as bio-informatics, data mining and many other fields. However, there are some metrics, like pg-gram and Edit Distance used specifically for data with a hierarchical... Read More about Comparison of distance metrics for hierarchical data in medical databases.

Augmented Neural Networks for modelling consumer indebtness (2014)
Journal Article
Ladas, A., M. Garibaldi, J., Scarpel, R., & Aickelin, U. (2014). Augmented Neural Networks for modelling consumer indebtness. Proceedings of International Joint Conference on Neural Networks, 3086-3093. https://doi.org/10.1109/IJCNN.2014.6889760

Consumer Debt has risen to be an important problem of modern societies, generating a lot of research in order to understand the nature of consumer indebtness, which so far its modelling has been carried out by statistical models. In this work we show... Read More about Augmented Neural Networks for modelling consumer indebtness.

Interval-valued fuzzy decision trees with optimal neighbourhood perimeter (2014)
Journal Article
Lertworaprachaya, Y., Yang, Y., & John, R. (2014). Interval-valued fuzzy decision trees with optimal neighbourhood perimeter. Applied Soft Computing, 24, https://doi.org/10.1016/j.asoc.2014.08.060

This research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, however, precise values of f... Read More about Interval-valued fuzzy decision trees with optimal neighbourhood perimeter.

ERiSA: building emotionally realistic social game-agents companions (2014)
Journal Article
Chowanda, A., Blanchfield, P., Flintham, M. D., & Valstar, M. (in press). ERiSA: building emotionally realistic social game-agents companions. Lecture Notes in Artificial Intelligence, 8637, https://doi.org/10.1007/978-3-319-09767-1_16

We propose an integrated framework for social and emotional game-agents to enhance their believability and quality of interaction, in particular by allowing an agent to forge social relations and make appropriate use of social signals. The framework... Read More about ERiSA: building emotionally realistic social game-agents companions.

Generating summary documents for a variable-quality PDF document collection (2014)
Conference Proceeding
Hughes, J., Brailsford, D. F., Bagley, S. R., & Adams, C. E. (2014). Generating summary documents for a variable-quality PDF document collection.

The Cochrane Schizophrenia Group’s Register of studies details all aspects of the effects of treating people with schizophrenia. It has been gathered over the last 20 years and consists of around 20,000 documents, overwhelmingly in PDF. Document coll... Read More about Generating summary documents for a variable-quality PDF document collection.